Sentence examples for membership of samples from inspiring English sources

The most widely used clustering method, as implemented in the STRUCTURE program, provides the probability of group membership of samples [5].

It has been possible to determine the membership of sample areas to an UCZ using landscape descriptors automatically computed with GIS and remote sensed data.

H was a cluster indicator matrix in which each entry h i, k denoted the real-valued membership of sample i belonging to cluster k.

GENIUS creates sample libraries from unassembled short whole-genome sequence reads using two algorithms, 5VCE and NmerCE, and utilizes GeneBook reference libraries derived from curated genomic databases to assign taxonomic membership of sample libraries, employing probabilistic matching.

The main difference between PCA and LDA is that LDA is supervised, thus we need to know the class memberships of samples before the analysis.

Cluster memberships of samples were then obtained in a hard/soft fashion using a maximum probability criterion.

The number of clusters andcluster membership probabilities of samples were then determined using the estimated component weights and parameters of the Gaussian components for this selected run.

A summary of the predicted group membership of Ganoderma samples is shown in Table 1.

For the selected values of K, we assessed the average proportion of membership of the samples to the inferred clusters (PMIs) by combining the 10 replications using CLUMPP (Jakobsson and Rosenberg, 2007), applying the LargeKGreedy algorithm.

This is because the goal of traditional classification modeling is to construct a function (or a classifier) based on the properties of training data so as to make as few errors as possible when being used to predict the class membership of new samples [ 2].

Because the value of partition matrix represents the membership of a sample belonging to a class, we can directly use the membership value of partition matrix as the BPA or mass function of D-S theory.